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Haptic Network Protocols: A Comprehensive Review and Directions for Next-Gen Metaverse Applications
Faisal, Mohd Martinez-Velazquez, Roberto Alejandro Laamarti, Fedwa al-Osman, Hussein El Saddik, Abdulmotaleb Ei
Faisal, Mohd
Martinez-Velazquez, Roberto Alejandro
Laamarti, Fedwa
al-Osman, Hussein
El Saddik, Abdulmotaleb Ei
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3759459.pdf
Adobe PDF, 78.96 MB
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Machine Learning
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Review
Date
2025
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English
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Abstract
This article presents a systematic review of haptic network protocols in the context of the Metaverse. With the increasing integration of haptic technologies into applications like remote collaboration and robotic surgery, the need for reliable, low-latency data transmission has intensified. This work provides a comprehensive analysis of existing haptic protocols and frameworks, focusing on their development, implementation, and the methods employed to optimize Quality of Service (QoS) parameters such as latency, delay, packet loss, jitter, throughput, and bandwidth. By examining the strengths and limitations of these protocols in real-time applications, this article identifies critical areas for improvement and suggests future directions, including the potential for incorporating machine learning (ML) and artificial intelligence (AI) to enable next-generation haptic communication suited for high-demand environments like the Metaverse.
Citation
M. Faisal, R. A. Martinez Velazquez, F. Laamarti, H. Al Osman, and A. El Saddik, “Haptic Network Protocols: A Comprehensive Review and Directions for Next-Gen Metaverse Applications,” ACM Transactions on Multimedia Computing, Communications, and Applications, vol. 21, no. 11, pp. 1–33, Nov. 2025, doi: 10.1145/3759459
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ACM Transactions on Multimedia Computing, Communications and Applications
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Keywords
Bandwidth, Communication, Data Integration Frameworks, Data Transmission, Delay, Haptic, Jitter, Latency, Metaverse, Network, Packet Loss, Protocol, Quality of Experience (QoE), Quality of Service (QoS), Real-Time, Systematic Review, Tactile Internet, Throughput
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Association for Computing Machinery